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SomaticSignatures: inferring mutational signatures from single-nucleotide variants

Summary: Mutational signatures are patterns in the occurrence of somatic single-nucleotide variants that can reflect underlying mutational processes. The SomaticSignatures package provides flexible, interoperable and easy-to-use tools that identify such signatures in cancer sequencing data. It facil...

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Detalles Bibliográficos
Autores principales: Gehring, Julian S., Fischer, Bernd, Lawrence, Michael, Huber, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817139/
https://www.ncbi.nlm.nih.gov/pubmed/26163694
http://dx.doi.org/10.1093/bioinformatics/btv408
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author Gehring, Julian S.
Fischer, Bernd
Lawrence, Michael
Huber, Wolfgang
author_facet Gehring, Julian S.
Fischer, Bernd
Lawrence, Michael
Huber, Wolfgang
author_sort Gehring, Julian S.
collection PubMed
description Summary: Mutational signatures are patterns in the occurrence of somatic single-nucleotide variants that can reflect underlying mutational processes. The SomaticSignatures package provides flexible, interoperable and easy-to-use tools that identify such signatures in cancer sequencing data. It facilitates large-scale, cross-dataset estimation of mutational signatures, implements existing methods for pattern decomposition, supports extension through user-defined approaches and integrates with existing Bioconductor workflows. Availability and implementation: The R package SomaticSignatures is available as part of the Bioconductor project. Its documentation provides additional details on the methods and demonstrates applications to biological datasets. Contact: julian.gehring@embl.de, whuber@embl.de Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-48171392016-04-04 SomaticSignatures: inferring mutational signatures from single-nucleotide variants Gehring, Julian S. Fischer, Bernd Lawrence, Michael Huber, Wolfgang Bioinformatics Applications Notes Summary: Mutational signatures are patterns in the occurrence of somatic single-nucleotide variants that can reflect underlying mutational processes. The SomaticSignatures package provides flexible, interoperable and easy-to-use tools that identify such signatures in cancer sequencing data. It facilitates large-scale, cross-dataset estimation of mutational signatures, implements existing methods for pattern decomposition, supports extension through user-defined approaches and integrates with existing Bioconductor workflows. Availability and implementation: The R package SomaticSignatures is available as part of the Bioconductor project. Its documentation provides additional details on the methods and demonstrates applications to biological datasets. Contact: julian.gehring@embl.de, whuber@embl.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-11-15 2015-07-10 /pmc/articles/PMC4817139/ /pubmed/26163694 http://dx.doi.org/10.1093/bioinformatics/btv408 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Gehring, Julian S.
Fischer, Bernd
Lawrence, Michael
Huber, Wolfgang
SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title_full SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title_fullStr SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title_full_unstemmed SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title_short SomaticSignatures: inferring mutational signatures from single-nucleotide variants
title_sort somaticsignatures: inferring mutational signatures from single-nucleotide variants
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817139/
https://www.ncbi.nlm.nih.gov/pubmed/26163694
http://dx.doi.org/10.1093/bioinformatics/btv408
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